DocumentCode :
1595312
Title :
Linear Level Lasserre Lower Bounds for Certain k-CSPs
Author :
Schoenebeck, Grant
Author_Institution :
Dept. of Comput. Sci., Univ. of California, Berkeley, Berkeley, CA
fYear :
2008
Firstpage :
593
Lastpage :
602
Abstract :
We show that for kges3 even the Omega(n) level of the Lasserre hierarchy cannot disprove a random k-CSP instance over any predicate type implied by k-XOR constraints, for example k-SAT or k-XOR. (One constant is said to imply another if the latter is true whenever the former is. For example k-XOR constraints imply k-CNF constraints.) As a result the Omega(n) level Lasserre relaxation fails to approximate such CSPs betterthan the trivial, random algorithm. As corollaries, we obtain Omega(n) level integrality gaps for the Lasserre hierarchy of 7/6-epsiv for VERTEXCOVER, 2-epsiv for k-UNIFORMHYPERGRAPHVERTEXCOVER, and any constant for k-UNIFORMHYPERGRAPHINDEPENDENTSET. This is the first construction of a Lasserre integrality gap.Our construction is notable for its simplicity. It simplifies, strengthens, and helps to explain several previous results.
Keywords :
communicating sequential processes; computational complexity; set theory; Lasserre integrality gap; Lasserre relaxation; NP-hard problems; certain k-CSP; linear level Lasserre lower bounds; random algorithm; Approximation algorithms; Computational modeling; Computer science; Constraint optimization; Polynomials; Lasserre; semidefinite program hierarchies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 2008. FOCS '08. IEEE 49th Annual IEEE Symposium on
Conference_Location :
Philadelphia, PA
ISSN :
0272-5428
Print_ISBN :
978-0-7695-3436-7
Type :
conf
DOI :
10.1109/FOCS.2008.74
Filename :
4690992
Link To Document :
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